DocumentCode :
3722238
Title :
Prediction of stock market using artificial neural network
Author :
Neelima Budhani;C. K. Jha;Sandeep K. Budhani
Author_Institution :
Department of Computer Science Amrapali Institute, Haldwani Nainital ( Uttarakhand) India
fYear :
2014
Firstpage :
1
Lastpage :
8
Abstract :
Presently, all over the world enormous amount of investment are dealing by the Stock Markets. Nationwide financial system are sturdily connected and closely inclined to the accomplishment of their Stock Markets. Additionally nowadays trading has become too reachable capital expenditure medium, for both planned investors as well as common man also. Artificial neural networks (ANN), belonging to Artificial Intelligence (AI), is a technique which is anticipated to identify samples (patterns) and obtain a data model. Significant characteristics of ANN are its potential for particular problem with progressively learning and inputs outputs mapping. Neural network is well accepted procedure to categorize unidentified, unobserved samples in input values that is appropriate to predict the stock market. Feedforward neural network with Backpropagation training algorithm has been taken by us to make prediction.
Keywords :
"Neurons","Artificial neural networks","Biological neural networks","Feedforward neural networks","Stock markets","Training","Time series analysis"
Publisher :
ieee
Conference_Titel :
Soft Computing Techniques for Engineering and Technology (ICSCTET), 2014 International Conference on
Type :
conf
DOI :
10.1109/ICSCTET.2015.7371196
Filename :
7371196
Link To Document :
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